Data Engineer

Are you an aspiring or experienced Data Engineer looking for a role that combines cutting-edge technology with a supportive, growth-oriented environment? Wolfspeed, a leader in silicon carbide and GaN technologies, presents an exciting opportunity for a Data Engineer to join their global team. This role is not just about managing data; it's about building the future of data architecture in a company at the forefront of innovation.

The Opportunity Unpacked: Build, Optimize, Innovate

This Data Engineer position at Wolfspeed stands out for several compelling reasons, offering significant advantages for your career development:

• High Impact and Global Scope: As part of a global team, you will be instrumental in expanding and optimizing the data and data pipeline architecture for cross-functional teams. This means your work will have a direct and visible impact across the organization, supporting software developers, database architects, data analysts, and data scientists. You'll be crucial in ensuring optimal data delivery architecture is consistent throughout ongoing projects.
• Modern Data Stack & Methodologies: You'll be working with a highly sought-after suite of technologies, including Snowflake, dbt (data build tool), Fivetran, Azure Cloud (storage, VMs, containers, Azure Data Factory), Python, Docker, and SQL. The role actively embraces Agile and DevOps methodologies using Azure DevOps, ensuring you stay at the forefront of industry best practices in data engineering and software development.
• Culture of Growth and Learning: Wolfspeed explicitly states, "We understand that there might be a few requirements that you don’t meet or skills that you don’t yet have. That ok!" This progressive stance signals a company that values aptitude, passion, and a willingness to learn over a rigid checklist. For driven individuals eager to expand their skillset, this is a significant advantage, fostering a continuous learning environment.
• Cutting-Edge Industry: Join a "powerhouse semiconductor company" with over three decades of innovation in silicon carbide and GaN technologies. Contributing to a company leading industry transformation means your work will support advanced technologies with real-world impact.
• Problem-Solving Focus: The mantra "We do what others say can’t be done" highlights a culture that encourages tackling complex challenges and finding innovative solutions. If you thrive on overcoming obstacles and crafting solutions for enterprise data integration (SAP, Oracle, Salesforce, Workday), this environment is for you.

Key Considerations for Your Career Path

To ensure this opportunity aligns perfectly with your career aspirations, here are some key considerations:

• A Builder's Mindset: This role emphasizes building and optimizing data solutions "from the ground up" and expanding existing architecture. While support for existing services is part of the day-to-day, the core focus is on design, development, new implementations, and continuous optimization. Candidates should enjoy the challenge of creating robust and scalable data solutions.
• Strong Collaborative Skills: Success in this role hinges on seamless interaction with diverse cross-functional teams. Exceptional teamwork and communication skills are paramount for translating complex requirements into functional tasks and ensuring optimal data delivery for various global stakeholders.
• Adaptability and Continuous Learning: While the company is open to individuals who don't meet every single skill, the expectation is for a smart, passionate, and hardworking individual eager to learn. The dynamic nature of the data engineering landscape and the modern tech stack means continuous learning and staying updated with new tools and methodologies will be a constant.
• Experience Foundation: While growth is encouraged, the ideal candidate will possess a minimum of 3+ years of experience in a Data Engineering or data-focused Software Engineering role. Hands-on experience with a programming language (Python, Java, Go, etc.), public cloud, complex SQL, ETL/custom data extraction, data modeling, data warehousing, and working with large-scale datasets is essential to contribute effectively. Experience with DevOps and lean development principles is also a key requirement.

Who Should Apply?

This opportunity is ideal for an intelligent, driven individual who:

• Has a proven track record (3+ years) in data engineering or data-focused software engineering.
• Is passionate about building, optimizing, and modernizing data pipelines and architecture.
• Thrives in a collaborative, global team environment.
• Is eager to work with cutting-edge technologies like Snowflake, dbt, and Azure.
• Possesses strong problem-solving skills and a desire to tackle complex challenges.
• Values continuous learning and professional growth within a leading technology company.

If you're ready to make a significant impact by shaping the data landscape for an industry leader, and you're excited by a role that combines technical depth with a supportive culture, then the Data Engineer position at Wolfspeed could be your next pivotal career move. Join the "wolf pack" and contribute to innovations that others say can't be done!